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A New Method to Improve Quality of Reconstructed Images in Tomography

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Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications (CompIMAGE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8641))

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Abstract

This paper presents a new method to improve quality of reconstructed images in tomography.

A lot of methods to reconstruct images in tomography are proposed, but the filtered backprojection method (FBP) is broadly used in clinical setting. FBP is a fast method but the quality of reconstructed data is largely disputed, because of that, we propose an iterative, locally adaptive thresholding technique for removing star artifacts from reconstructed images by FBP method.

The validation of our approach consists to compare reconstructed images by our method with reconstructed one by FBP method using different models as Hoffman model.

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Author information

Authors and Affiliations

  1. Electrical Engineering and Computer Science Department, University of Science and Technology Houari Boumediene USTHB, El-Alia BP 32, Bab-Ezzouar, 16111, Algiers, Algeria

    Ahlem Ouaddah & Dalila Boughaci

Authors
  1. Ahlem Ouaddah
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  2. Dalila Boughaci
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Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Yongjie Jessica Zhang

  2. Faculdade de Engenharia, Departamento de Engenharia Mecânica, Universidade do Porto, Rua Dr. Roberto Frias, S/N, 4200-465, Porto, Portugal

    João Manuel R. S. Tavares

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© 2014 Springer International Publishing Switzerland

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Ouaddah, A., Boughaci, D. (2014). A New Method to Improve Quality of Reconstructed Images in Tomography. In: Zhang, Y.J., Tavares, J.M.R.S. (eds) Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications. CompIMAGE 2014. Lecture Notes in Computer Science, vol 8641. Springer, Cham. https://doi.org/10.1007/978-3-319-09994-1_26

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  • DOI: https://doi.org/10.1007/978-3-319-09994-1_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09993-4

  • Online ISBN: 978-3-319-09994-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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